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Poster/Conférence:
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Clé de citation BibTeX: French
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French, R. M., & Labiouse, C. (2002). Four problems with extracting human semantics from large text corpora. Proceedings of the 24th Annual Conference of the Cognitive Science Society,
Ajoutée par: Sterenn Audo 2008-02-06 16:19:56
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Catégories: Full text, Résolution de problèmes
Auteurs: French, Labiouse
Collection: Proceedings of the 24th Annual Conference of the Cognitive Science Society
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Nombre de vues: 240
Popularité: 21.76%
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Résumé
We present four problems that will have to be overcome
by text co-occurrence programs in order for them to be
able to capture human-like semantics. These problems
are: the intrinsic deformability of semantic space, the
inability to detect co-occurrences of (esp. distal) abstract
structures, their lack of essential world knowledge,
which humans acquire through learning or direct
experience with the world and their assumption of the
atomic nature of words. By looking at a number of very
simple questions, based in part on how humans do
analogy-making, we show just how far one of the best of
these programs is from being able to capture real
semantics.
Ajoutée par: Sterenn Audo
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Idées
pdf dispo
Ajoutée par: Sterenn Audo
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